Accuracy Test of K-Means in Predicting Election Participation in the Demographics of Pasuruan District Region
Uji Akurasi K - Means dalam Prediksi Partisipasi Pemilu pada Demografi Wilayah Kabupaten Pasuruan
DOI:
https://doi.org/10.21070/ups.3813Keywords:
Data Mining, K-means, Participation, Elections, PredictionsAbstract
The term Indonesia as a democratic country is legitimately echoed because Indonesia has used elections as a means to change leaders. Participation is a measure of the success of an election. This research aims to predict election participation in the demographics of Pasuruan Regency. The process of predicting or classifying using an algorithmK - Means plus evaluation model Inertia and Silhouette. The results of this research have been carried out in predicting election participation in the demographics of the Pasuruan Regency area which was carried out using the K - K - Means Algorithm with 4 variables, namely 64% election participation with 3 cluster as a comparison and research adventure with 4 cluster as much as 68% of public participation in the election.
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